Relation-Classification-using-Bidirectional-LSTM-Tree
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Sshanu
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Depen...
WARNING:tensorflow:From C:\Users\damao\AppData\Roaming\Python\Python36\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version. Instructions for updating: Use the retry module or similar alternatives. WARNING:tensorflow:From D:/test/Relation-Classification-using-Bidirectional-LSTM-Tree-master/LSTM Seq and Tree/model3v1.py:440:...
Hi Shanu I tried Model3v1 for 10 samples. Accordingly I generated train_paths and when i run, I get the below error. PLease let know. I have attached the source file...
i am trying to run modelv1. now at following stage new error is occurring: model = tf.train.latest_checkpoint(model_dir) saver.restore(sess, model) error: INFO:tensorflow:Restoring parameters from None --------------------------------------------------------------------------- TypeError Traceback (most recent call...
LookupError Traceback (most recent call last) in () 9 e1_text = text 10 e1_text_ = " ".join(e1_text) ---> 11 e1_text = tokenizer.tokenize(e1_text) 12 text.append(t[0]) 13 e11= t[0] F:\anaconda\lib\site-packages\nltk\tokenize\stanford.py in tokenize(self,...
Can we use our own data set to train the models and predict our own test set?
Dear author, I tried to run the modelv1 and modelv4 and the '/data/test_paths' is missing. Then I tried test_pathsv1 and the f1 score is very low. So would you tell...
